Sr. Data Engineer - Clinical Data Foundation

Amgen Technology; Hyderabad; On-site; INR 4,500,000 - 6,500,000; Full time

Job summary

Amgen seeks a Senior Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions. You will work with large datasets, implement ETL/ELT processes, and ensure data quality and governance across systems.

Collaboration with data scientists and business teams is essential. The role requires strong Python/SQL skills, experience with Databricks and Spark, and a deep understanding of data architecture.

Qualifications

• Masters or Bachelors in CS/IT or related field.
• 9–12 years of experience in data engineering or related field.
• Experience with big data technologies and ETL/ELT pipelines.
• Knowledge of GDPR/CCPA and data privacy.
• Experience with data governance and data modeling.

Responsibilities

• Design, develop, and maintain data solutions for data generation and processing.
• Lead in data pipeline design and implementation across systems.
• Create data pipelines and ensure data quality with ETL/ELT processes.
• Collaborate with stakeholders to meet business data needs.
• Develop data models, dictionaries, and documentation for accuracy.
• Implement data security and privacy measures.

Skills

Databricks

PySpark

Spark SQL

Data analysis

Data governance

Python

SQL

Data visualization

R

Big data

Data privacy

Education

Bachelor/Master in CS/IT

Tools

Airflow

Delta Lake

SageMaker

AWS

Job description

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the worlds toughest diseases, and make peoples lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond whats known today.

ABOUT THE ROLE

Role Description:

The Sr. Data Engineer is responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes

Roles Responsibilities:

• Design, develop, and maintain data solutions for data generation, collection, and processing
• Be a key team member that assists in design and development of the data pipeline
• Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
• Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
• Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
• Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
• Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
• Implement data security and privacy measures to protect sensitive data
• Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
• Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
• Identify and resolve complex data-related challenges
• Adhere to best practices for coding, testing, and designing reusable code/component
• Explore new tools and technologies that will help to improve ETL platform performance
• Participate in sprint planning meetings and provide estimations on technical implementation
• Collaborate and communicate effectively with product teams

Basic Qualifications and Experience:

• Masters /Bachelors degree with 9-12 years of experience in Computer Science, IT or related field

Functional Skills:

Must-Have Skills:

• Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
• Hands on experience with various Python/R packages for data analysis, feature engineering and machine learning model training
• Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools
• Excellent problem-solving skills and the ability to work with large, complex datasets
• Strong understanding of data governance frameworks, tools, and best practices.
• Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)
• Delta Lake, DataFrames, broadcast join

Good-to-Have Skills:

• Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development
• Strong understanding of data modeling, data warehousing, and data integration concepts
• Knowledge of Python/R, Databricks, SageMaker, cloud data platforms
• Experience with Clinical Development domain.

Professional Certifications:

• Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)
• Machine Learning Certification (preferred on Databricks or Cloud environments)
• SAFe for Teams certification (preferred)

Soft Skills:

• Excellent critical-thinking and problem-solving skills
• Strong communication and collaboration skills
• Demonstrated awareness of how to function in a team setting
• Demonstrated presentation skills

Shift Information:

This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.